Jobs in United States

Technical Manager in United States

4,218 active opportunities · Updated October 2026

Explore current technical manager jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 Grand Rapids, Michigan, United States
✓ Quality checkedCompany trend +364.7%

Work Flexibility: Field-based Position summary: Utilizes a wide array of knowledge, technical skills and critical thinking abilities to facilitate job functions during surgical procedures as well as preoperative and postoperative equipment management. ​ Essential Duties and Responsibilities: (detailed description) Provides clinical surgical support by managing all relevant equipment. Anticipates related device needs of the O.R. staff and surgeon during surgical procedures. Is responsible for trouble-shooting and maintaining Stryker equipment and or other related devices. Works with surgeons, O.R. personnel, central processing, biomedical and all other related personnel. Maintains knowledge base of equipment and disposable products through Stryker education training programs. Provide physicians and OR personnel with information on new and current products. Must be able to accurately and honestly record and report data metrics related to all specific job functions on a monthly basis. Responsible for maintaining up-to-date account information to ensure continuous high levels of service at the account; including all vendor credentialing required by the account. Accurately records and reports all surgical procedure information. Adheres to all Stryker and medical facility policies, standards and procedures. Analyze and resolve both routine and non-routine product issues expediently using independent judgment. Maintain professional appearance, work ethic, and attitude required by Stryker and the medical facility. Adhere to (HIPAA) and other related patient confidentiality policies and procedures. Provide support/coverage on all shifts at your assigned account, as well as provide support/coverage at other account in and outside your region; other sh

Supply Chain
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📍 Chicago, Illinois, United States
✓ Quality checkedCompany trend +364.7%

Work Flexibility: Field-based GENERAL DESCRIPTION: Utilizes a wide array of knowledge, technical skills and critical thinking abilities to facilitate job functions during surgical procedures as well as preoperative and postoperative equipment management. ESSENTIAL FUNCTIONS: · Provides clinical surgical support by managing all relevant equipment. · Anticipates related device needs of the O.R. staff and surgeon during surgical procedures. · Is responsible for trouble-shooting and maintaining Stryker equipment and or other related devices. · Works with surgeons, O.R. personnel, central processing, biomedical and all other related personnel. · Maintains knowledge base of equipment and disposable products through Stryker education training programs. · Provide physicians and OR personnel with information on new and current products. · Must be able to accurately and honestly record and report data metrics related to all specific job functions on a monthly basis. · Responsible for maintaining up-to-date account information to ensure continuous high levels of service at the account; including all vendor credentialing required by the account. · Accurately records and reports all surgical procedure information. · Adheres to all Stryker and medical facility policies, standards and procedures. · Analyze and resolve both routine and non-routine product issues expediently using independent judgment. · Maintain professional appearance, work ethic, and attitude required by Stryker and the medical facility. · Adhere to (HIPAA) and other related patient confidentiality policies and procedures. · Provide support/coverage on all shifts at your assigned account, as well as provide support/coverage at other account in and outside your region; other shifts might i

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📍 Seattle, Washington, United States
✓ High-confidence listing

$200K – $260K/yr

Quick readStrong listing-quality and freshness signals

The Forward Deployed Engineer, Staff (FDE) is a high impact technical leader responsible for translating the immense power of Talkdesk's Agentic AI platform into transformative, production grade solutions for our strategic enterprise customers. You are a unique blend of a highly experienced software engineer, a technical project lead, and a hands-on builder. You own the technical execution for deployments, mitigate technical risks, and drive successful customer outcomes across assigned projects. This role is for the experienced builder who excels in high stakes, customer facing environments and is passionate about defining the future of Customer Experience Automation. Responsibilities Technical Project Leadership & Architecture: Act as the technical lead for complex deployments. Design and implement the architectural blueprint for AI agent solutions, manage cross-system dependencies, and ensure designs meet stringent enterprise standards for security and scale. Hands-On Engineering & Delivery: Write production-grade code and leverage Talkdesk and 3rd-party APIs/SDKs to design, build, test, and deploy AI agents. Drive the execution from prototype through to production deployment, ensuring technical quality. Technical Consultation & Alignment: Serve as a trusted technical expert for our AI solutions. Confidently address deep technical inquiries, mitigate technical risk, and build trust with customer Engineering Directors, and technical architects. Influence Product & Engineering Roadmap: Synthesize and codify deployment learnings into reusable solution patterns and tooling. Provide actionable feedback to core Product and Engineering teams to help inform future product direction. Technical Guidance: Mentor junior FDEs and technical specialists on best practices for complex AI architecture, production quality, and client-facing technical delivery. Who You Are We are looking for an autonomous, results-driven technical leader who thrives at the intersectio

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📍 Atlanta, Georgia, United States· Full-time
✓ High-confidence listing

From $139.1K/yr

Quick readStrong listing-quality and freshness signals

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge OneTrust is building the AI-Ready Governance Platform™ to help organizations build trust, manage risk, and use data and AI responsibly. Our platform brings together privacy automation, consent and preferences, data use governance, AI governance, tech risk and compliance, and third-party management across connected, cloud-based workflows. As a Senior Staff Quality Engineer, SDET, you will define the quality engineering strategy that enables OneTrust to scale this platform with confidence. You will shape how we validate integrated customer journeys, protect trust-critical data and workflows, and release reliable capabilities across a broad product portfolio. This role is for an experienced technical leaderwho can solve significant, unique problems requiring independent judgment, evaluation of intangible factors, and the creation of methods and procedures for specialized, high-stakes initiatives. Your Mission Quality Strategy for Trust-Critical Products Define automation architecture, quality strategy, and release-validation practices acro

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📍 Denver, Colorado, United States· Full-time
✓ High-confidence listingCompany trend -88.9%

From $80K/yr

Quick readStrong listing-quality and freshness signals

Datadog Sales Engineers help qualify and close opportunities with customers and partners by providing technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various cross-functional teams to resolve customer concerns, escalate issues, advocate for customer needs, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, we'd love to meet you! At Datadog, we place value in our office culture, the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Partner with the Customer Success team to articulate Datadog's value proposition, vision, and technical strategy throughout the sales cycle. Continually learn new technologies to build competitive knowledge, technical skill, and credibility Deliver value-driven product and technical presentations to Datadog customers Have a direct line of communication with the product team to collaborate on feature requests Help clients onboard the product and assist when they run into roadblocks Think creatively to solve a wide variety of technical challenges throughout the sales cycle Who You Are: Has 1 year or more of experience in a technical sales and/or post-sales role Has working knowledge of cloud infrastructure, modern application architectures, observability, and/or DevOps technologies Enjoys collaborating and teaming up with others Demonstrates strong written and oral communication skills Comfortable and confident in delivering technical presentations & demos Can multi-task, manage time well, and be responsive to others Curious, adaptable, and eager to continually learn and expand technica

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📍 Austin, Texas, United States· Full-time
✓ High-confidence listingCompany trend -97.2%

From $98K/yr

Quick readStrong listing-quality and freshness signals

MongoDB has a great opportunity for a Senior HR Business Partner for our Technical Services organization. HRBPs at MongoDB are responsible for helping business unit leaders and their leadership teams develop and implement a people and culture strategy that best supports their business needs. They act as coaches, trusted advisors, change agents, consultants and thought partners on all things talent within the business. They work closely with other teams within the People Team to perform their role and responsibilities – this includes Employee Experience, Compensation, Culture & Talent Development, Talent Acquisition, HR Operations and People Analytics. This Senior HRBP role is an opportunity for a strategic, commercially minded people leader to shape the talent and organizational agenda for a complex business. The role will partner closely with senior leaders to anticipate people needs, lead through change, translate data into clear recommendations, and build scalable solutions that enable the business to grow. Alongside this strategic partnership, the Senior HRBP will lead critical talent moments, including performance, engagement, succession, and compensation cycles, ensuring they drive meaningful business and people outcomes. We’re open to candidates across North America’s Eastern and Central Time Zones and are flexible on location for the right candidate. Key Responsibilities Builds relationships with leaders to offer thought leadership on organizational and people-related strategy and execution Adopts the culture of the organization and embodies our values and leadership principles Develops a commercial understanding of the business to appropriately guide and influence leaders on their talent agenda Applies expertise in the following areas: organizational design, workforce planning, change management, performance management, career planning, coaching, analysis of people data, compensation (cash and equity), complex employee relations issues, learning and dev

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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 San Francisco, CA, United States· Full-time· Remote
✓ High-confidence listingCompany trend -86.4%

From $242.6K/yr

Quick readStrong listing-quality and freshness signals

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re looking for a principal software engineer to lead the next generation of data infrastructure at Pinterest which powers mission critical big data and AI applications. You’ll be working on some of the most exciting big data and AI open source technologies (Flink, Spark, Kubernetes, etc.), at the scale of exabytes of data to help Pinners discover and do what they love. What you’ll do: Lead the strategy and technical direction of Pinterest’s data infrastructure for big data and AI applications Build and scale data infra frameworks and infrastructure to process petabytes-scale datasets, including compute engines, job management, resource management, scheduling and remote shuffling Work with internal customers on critical business use cases that rely on big data Provide thought leadership to the entire company on how data should be

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📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -84.1%

$266K – $295K/yr

Quick readStrong listing-quality and freshness signals

About the Role As a member of the Platform Partnerships team, you will lead some of the most important integrations connecting the world into OpenAI’s flagship products, including Codex and ChatGPT. This role has enormous impact, as OpenAI users and their agents increasingly interact with third-party services. You will set partnership strategy, craft mutually beneficial commercial and technical agreements, and work closely with product and engineering teams to bring new platform capabilities to market. You will help decide what gets built, which partners to prioritize and how a new generation of AI-native services come to life. This role sits at the intersection of product, engineering, partnerships, and ecosystem strategy. The right person is someone who can run deals end-to-end, navigate ambiguity, push product thinking when needed, and move fast with partners and internal teams. In this role, you will Lead full lifecycle partnerships, from identifying and prioritizing partners to negotiating terms, closing complex agreements, and driving partner success. Work directly with Product and Engineering to shape how connectors, agents, and third-party workflows function inside ChatGPT and Codex. Develop ecosystem relationships to drive deeper engagement across distribution, co-marketing, and product innovation. Translate partner commercial needs, technical constraints, and market dynamics into program and product recommendations, prioritization calls, and go-to-market plans Bring structure to ambiguous opportunities and help the team decide where to go deep, move fast, or say no. Drive aggressive timelines by clearing blockers and aligning internal and external workstreams. You might thrive in this role if you 10+ years of experience in product partnerships, product management, or developer relations. Demonstrated success structuring and negotiating complex commercial and technical deals, with strong negotiation skills with a focus on creative solutions. Excellent produ

AWSRestAIGo
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📍 San Francisco, California, United States· Full-time· Remote
✓ Quality checkedCompany trend -84.1%

About the Team OpenAI's Industrial Compute organization is building and scaling the infrastructure required to support frontier AI. The Infrastructure Strategic Sourcing team connects technical and project requirements to supplier readiness, contracting, purchasing, equipment delivery, and portfolio-level risk visibility across owner-furnished contractor-installed equipment (OFCI), data center networking, rack systems and integration, fiber, cabling, optical interconnects, and related infrastructure. The team partners across Pre-Construction, Design, Construction, Electrical and Mechanical Engineering, Network Engineering, Hardware and Rack Delivery, Strategic Sourcing, Procurement, Legal, Finance, Accounts Payable, Logistics, and external suppliers. We build the operating mechanisms that keep sourcing decisions, purchase execution, long-lead equipment, network and fiber dependencies, rack readiness, and delivery commitments aligned to infrastructure schedules. About the Role We are seeking an Infrastructure Sourcing Operations Lead to own procurement operations across pre-construction, design, construction, and sourcing through purchase order issuance, while maintaining visibility through invoice resolution, production, logistics, delivery, installation, and readiness. The portfolio includes electrical and mechanical OFCI, networking equipment, rack systems and integration, fiber, cabling, optical interconnects, and other infrastructure required to bring capacity online. In this role, you will set priorities, make or escalate decisions that affect cost, supplier relationships, contractual position, and delivery schedules, and define the standards used by execution support for queue management, documentation, tracker maintenance, and recurring reporting. Success requires sound commercial and program judgment, operational rigor, systems thinking, and the ability to turn incomplete information across vendors, tools, and project teams into clear decisions, accountable

AWSRestAIGo
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📍 Augusta, Maine, United States
✓ Quality checkedCompany trend +3.1%

$29 – $45/hr

Job Title Field Service Engineer - Augusta/Bangor Maine Job Description Field Service Engineer (Augusta/Bangor, Maine) Allow your passion for improving lives to shine in this role where you’ll be responsible for customer relationship management through the effective use of technical knowledge to install, troubleshoot, service, and maintain equipment at customer sites. Your role: Provide exceptional customer service by adhering to customer entitlements, setting clear expectations, and meeting commitments and arrival times to address and resolve customer needs. Understand the customer's business and competitive environment; generate service revenue. Actively participate as a member of the regional work team; work to improve team processes and identify training gaps. Seek out opportunities to increase capability and capacity (i.e. may be required to become qualified in multiple modalities, learns new tools). Perform all administrative duties within established Philips, State, and Federal regulatory requirements and timeframes including timesheets, service work orders, expense reports, Field Change Orders (FCO), preventative maintenance (PM), installation documents, site and service documentation, and other related paperwork. Adhere to established training, quality, and safety requirements. Utilize tools, support, resources, and escalation processes within required time frames to resolve customer and system problems timely and effectively. Complete PMs, FCOs, installation and all related tasks (diagnose and resolve electronic, network, and mechanical problems). Approximately 70% travel across the specified geography is required. The average driving time is 1-4 hours daily. Occasional overnight stays and travel by air and/or train may be required. You're the right fit i

Customer Service
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📍 Remote Based, United States· Remote
✓ Quality checkedCompany trend +3.1%

Job Title Field Service Engineer - Medical Imaging (Metro NYC / Tri-State Area) Job Description Field Service Engineer - Medical Imaging (Metro NYC / Tri-State Area) You will be responsible for customer relationship management through the effective use of technical knowledge to install, troubleshoot, service, and maintain equipment at customer sites nationally. The ideal candidate will be able to travel nationally but will be located in the greater New York City area. We expect this FSE to live within a 45-minute commute to Manhattan, with travel to other sites as required. Your role: Deliver exceptional customer service by setting clear expectations, meeting commitments and arrival times, and resolving customer issues efficiently. Build strong customer relationships by understanding their business environment while contributing to service revenue growth. Collaborate as an active member of the regional team to improve processes, identify training gaps, and share best practices. Continuously expand capabilities by learning new tools and becoming qualified across multiple modalities as needed. Complete all required administrative and compliance tasks in accordance with company, state, and federal regulations. This includes accurate documentation for timesheets, service work orders, expense reports, PMs, FCOs, installations, and adherence to quality and safety standards. Diagnose and resolve electronic, mechanical, and network-related system issues using established tools, resources, and escalation processes. Perform preventative maintenance, field changes, installations, and corrective service within required timeframes. Travel extensively (approximately 90%) with the ultimate focus being in the assigned territory to support customer sites, but will require overnight stays and air travel nationwide

Customer Service
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📍 Santa Clara, United States
✓ Quality checkedCompany trend -13.7%

We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for GPU firmware and GPU system software, working directly with engineering teams of key CSP / hyperscale customers to ensure they can reliably manage, update, and operate NVIDIA GPU firmware at fleet scale. You will drive work streams with engineering teams of key CSPs/hyperscale customers to build shared understanding of GPU firmware and system software integration, incorporate their feedback into NVIDIA's feature roadmap and delivery plan, and ensure customer-side automation and recovery procedures are ready before each firmware release. Your cross-CSP visibility enables you to identify patterns in GPU firmware operational challenges that drive systemic improvements no single customer engagement could surface alone. What you'll be doing: Drive GPU firmware & siftware work streams with CSP engineering teams — ensuring they understand GPU firmware architecture (VBIOS, InfoROM, microcontroller firmware), update sequencing, recovery procedures, and GPU power management Gather and synthesize CSP feedback on GPU firmware/software — covering manageability, observability, security requirements (e.g., multi-tenancy isolation, secure boot, attestation), and performance — and champion those priorities into NVIDIA's GPU firmware/software feature roadmap and delivery plan Drive GPU firmware update orchestration for large-scale deployments — multi-GPU update sequencing, rollback strategy, failure handling, and validation across hundreds of GPUs per rack Serve as the technical focal point between NVIDIA and CSP firmware/software engineering — ensuring GPU behaviors (error recovery flows, thermal protection, power state transitions) are well-documented and accessible for customer integration Identify cross-CSP GPU SW/FW issue patterns — common update failu

Artificial IntelligenceAI
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📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -100%

What you’ll do Act as the in-house electrical lead for Midjourney Medical: own the electrical architecture of the scanner and the technical direction for all board-level design. Own complex board design end-to-end: architecture, schematic capture, layout (high-speed digital, analog/mixed-signal, power), DFM/DFT, fabrication and assembly vendor management, bring-up, and revision control. Write firmware for embedded targets (MCU/SoC): drivers, real-time control loops, safety-relevant logic, bootloaders, and field update paths. Audit and update HDL (FPGA) code for high-throughput data acquisition, timing/synchronization, triggering, and pre-processing of ultrasound and sensor data streams. Define electrical interfaces and data contracts with software, recon/ML and mechanical teams: timing budgets, clocking/sync, signal integrity, connectors/harnessing, and failure modes. Establish electrical engineering rigor: design reviews, schematic/layout review checklists, bring-up procedures, test fixtures, and documentation suitable for a regulated medical device program (DHF, traceability, change control). Mentor and grow the electrical function; select and manage external design partners where leverage is high. What we’re looking for Deep experience designing complex boards from blank page to stable revision, including high-speed digital and analog/mixed-signal domains. Strong schematic and layout skills (Altium/KiCad or equivalent) with real signal integrity, power integrity, grounding, and EMI/EMC instincts. Solid embedded firmware background in C/C++ (and Python for tooling): peripherals, DMA, interrupts, real-time constraints, and debugging on hardware. Practical HDL experience (VHDL/Verilog/SystemVerilog) for data acquisition, timing, and streaming interfaces. Track record of owning bring-up and debug on real hardware: scopes, logic analyzers, and disciplined root-cause analysis. Technical leadership: clear trade-offs, strong written documentation, and the ability to set

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📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -73.5%

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. We are the Data Foundation & AI team within Plaid’s Data organization. Our mission is to build the shared ML and AI infrastructure that powers intelligent capabilities across Plaid’s product suite. We develop the foundational systems, models, and data assets that transform Plaid’s unique financial network data into scalable, general-purpose representations that teams across the company can leverage. Our work spans the full ML lifecycle — from large-scale data curation and model pretraining to production serving, evaluation, and monitoring. As part of the team, you’ll work at the intersection of machine learning infrastructure, applied AI, and distributed systems, helping establish the core AI platform that enables innovation across Plaid. As a Staff Machine Learning Engineer, you will lead the technical strategy and development of Plaid’s foundation models, driving key decisions across pretraining objectives, model architecture, and fine-tuning approaches that power a wide range of downstream product applications. You will serve as the technical lead for the full machine learning lifecycle, overseeing everything from data curation and experimentation to production deployment, feature management,

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📍 United States· Full-time
✓ Quality checkedCompany trend -84.1%

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Security Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments—GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Security Software Engineer, you will design and build critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Architect and implement production-grade security services (e.g., auth services, access brokers, secure proxies, key-management infrastructure) that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD. Partner with infrastructure and research engineers to embed security into high-performance compute clusters, enabling rapid model training and deployment without compromising protection. Develop automation and detection tooling to continuously identif

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